Weekly Recap | Snowflake +6.06%, most brokers rate it buy

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Snowflake gained 6.06% this week to close at $325.43, while the S&P 500 fell 0.47%; the stock beat the benchmark by roughly 6.53 percentage points. Day by day, Monday opened above $314, dipped to $309.80 intraday, then closed at $315.35. Tuesday extended gains to $319.61. Wednesday touched a weekly high of $327.485 before easing to $322.73. Thursday pulled back to an intraday low of $306.85 and settled at $313.96. Friday rebounded to finish at $325.43, back above the $325 level.

The Week

Snowflake gained 6.06% this week to close at $325.43, while the S&P 500 fell 0.47%; the stock beat the benchmark by roughly 6.53 percentage points. Day by day, Monday opened above $314, dipped to $309.80 intraday, then closed at $315.35. Tuesday extended gains to $319.61. Wednesday touched a weekly high of $327.485 before easing to $322.73. Thursday pulled back to an intraday low of $306.85 and settled at $313.96. Friday rebounded to finish at $325.43, back above the $325 level. The weekly range was 6.57%, leaving a choppy upward tilt for the period.

Key Events

AI cloud themes drove much of the week’s news flow. On Monday, Snowflake rallied alongside Twilio, JFrog, Fastly, and Palantir, with reports pointing to investor attention on Snowflake’s new AI partnerships. The following day brought more discussion of those partnerships, while Oracle’s comments on stronger AI demand were also cited. From Thursday, the narrative shifted towards positioning and insider activity: large-lot moves were flagged in information technology stocks, and director Frank Slootman reported selling about $94.93 million of common shares. On Friday, Dan Ives grouped Palantir and Snowflake as nearing the ‘end of that gap’ between AI capital spending and true monetisation, and cautioned that Wall Street may be underestimating tech earnings by up to 25%. After hours, director Benoit Dageville reported disposing of about $16.09 million of common shares. On balance, the week featured no company-specific product or earnings announcements; the story was shaped mainly by sector-level AI narrative and director share sales.

Analyst Ratings

As of 22 October 2026, Snowflake was covered by 52 firms: 35 rate it buy, 10 rate it overweight, 6 rate it hold, and 1 rate it sell, with none rating it underweight or offering no opinion. The consensus rating is buy, and the consensus target price is $425.14167, implying about 30.64% upside relative to the latest price near $325.43. Target prices range from $110 to $525, showing wide dispersion. Within the cloud and data-centre industry group of 30 names, Snowflake ranks second on ratings strength.

The Week Ahead

Next week brings a run of US macro data, starting with the Dallas Fed manufacturing business activity index on Monday. Tuesday is denser: durable goods orders, FHFA house prices, Case Shiller 20-city home price indices, new home sales, Richmond Fed composite index, and consumer confidence. Further out, Snowflake’s Q3 FY2027 results are scheduled for 2 December after the market close, with estimates pointing to a loss of about $0.5794 per share and revenue of about $1.654 billion. Over the past two weeks, AI-themed cloud and software names have seen sharp intraday swings, so macro prints and software sector rotation remain the key things to monitor.

In Short

Snowflake beat the S&P 500 by roughly 6.53 percentage points this week and closed at $325.43, a relatively strong level within the weekly range. The ratings backdrop leans constructive: 45 of 52 covering firms rate the stock buy or overweight, and the consensus target sits about 30% above spot, though the target range from $110 to $525 signals wide disagreement. On valuation, the latest PB is about 53.41x, while PE is not directly comparable given negative net income. In the most recent session’s flow data, large-lot outflows exceeded inflows while small-lot inflows exceeded outflows, pointing to a split direction. The questions to watch ahead are whether the AI monetisation narrative holds up through macro data and software rotation, and how expectations shift before the December earnings print.

This article is generated by LongbridgeAI from market data, for information only and not investment advice.

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